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LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

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Page 1: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

LORI CURTIS AND KATE RYBCZYNSKIDEPARTMENT OF ECONOMICS

UNIVERSITY OF WATERLOOOCTOBER 24 , 2012

A C K N O W L E D G E SS H R C F O R F U N D I N G.

No Exit: Women in Poverty

Page 2: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Motivation

Women face higher risk of long term poverty.(Finnie & Sweetman 2003; Lochhead & Scott 2000; Burstein 2005) Women comprise ~61% of the long term poor 

Few studies on determinants of poverty duration and exits in Canada. (Finnie & Sweetman 2004; Finnie 2000; Antolin, Dang & Oxley 1999; Burstein 2005; Lochead & Scott 2000) Negative Duration Dependence Family Composition Employment Status Age Education (Welfare studies & US poverty studies)

Page 3: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Data & Methodology

Canadian Survey of Labour and Income Dynamics (SLID) 1994-2006 (Panels 1-4) target population is all individuals in Canada excluding

persons living on Indian reserves, institutionalized individuals and some northern communities (less than 3% of the population).

The sampling frame is the Labour Force Survey. Interviewed yearly between January and March regarding

labour market experiences, income, education, family relationships and other demographics Data were accessed in the Southwestern Regional Data Centre

at the University of Waterloo which is part of the Canadian Data Research Data Network. Although the data were accessed through Statistics Canada, the opinions sited within do not reflect Statistics Canada’s policies or opinions.

Page 4: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Data & Methodology

Poverty spell: continuous period household income falls below the after-tax LICO.

Exclude spells where individual under 25, over 60 or a student under 25 or students may be poor given their current income

but long-term outlook is very different than others living in poverty

over 60 due to retirement issues and the possible receipt of government provisions (OAS and/or GIS).

Those with missing information also excluded.

Sample of 2953 poverty spells for 2764 women

Page 5: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Duration of Poverty Spell

Duration is end date less start date in years Start dates unknown if spell starts before first year of

panel. End dates unknown if spell continues after last year of

panel.

Flagged as left-censored and right-censored, respectively (Finnie and Sweetman, 2003)

Right-censored spells retainedLeft-censored spells are omitted from the sample

No characteristics of the individual on entering poverty

Page 6: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Methodology

Descriptive

Proportional hazard, discrete

Models with and without gamma distrib. heterogeneity Prentice-Gloeckler 1978; Jenkins 2008

Analysis by Exit type (competing risks)

Report exponentiated coefficients = relative risks for all models

Page 7: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Methodology

Construct our competing risks analysis by generating a categorical variable equal to 0 if the individual does not exit in time t, 1 if they exit to less than 1.1 times the LICO, 2 if they exit to an inclusive range of 1.1 and 2 times the LICO, 3 if they exit to more than twice the LICO. Allison (1982)

Specification 1 control variables measured prior to entering poverty

Specification 2 adds some control variables measuring changes within the poverty spell (e.g., become married, now have children, begin full-time work, etc)

Page 8: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Table 1 Spell Characteristics

Samplea Censoredb

Average Spell Duration 1.865(1.131)

1.405(0.717)

Percent with Multiple Spells 18.150 20.750

Percent Exiting Poverty 69.180 100

Percent Right Censored 30.820 0

Number of Spells 2953 2043

Note: standard errors in brackets. a includes cells that are right censored but excludes spells that are left-censored bexcludes cells that are right and left censored

Page 9: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Distribution of Ratio of Family Income to LICO on Exiting Poverty Spell

Page 10: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Table 2 Spell Characteristics by Family Income Relative to LICO on Spell Exit

Inc < 1.1*LICO

1.1* LICO ≤ Inc≤2*LICO

Inc > 2.0* LICO

Average Spell Duration

1.542(0.829)

1.415(0.717)

1.252(0.566)

Percent Multiple Spells

27.080 21.360 13.320

Percent Exiting to 18.8 60.250 20.950

Note: standard errors in brackets.

Page 11: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Descriptive Stats show

1/3 of poverty spells do not end in the study period

average duration of  poverty spells is almost 2 yrs.

1/5th of  the sample has multiple poverty spells.

close to 20% exit to <110% of the LICO, 60 percent exit to ‘near poverty’ (1.1 to

2*LICO)only 20%  exit to higher-income levels (>2*

LICO). ¼ exits < 2*LICO by women with multiple

spells.

Page 12: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Duration analyses ‘determinants’ of exiting poverty.

Factors (year prior to poverty spell) that increase likelihood of exit Labour attachment year prior to poverty spell having higher education

Decrease likelihood of exit participating in social assistance being an immigrant having younger children being unattached (compared to couples with no children) years in poverty increase (negative duration

dependence)

Page 13: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Adding Characteristics that change within a spell

results in substantively similar estimates

All change variables decrease likelihood of exit as possibly decrease income leaving a marriage having children enter or leave the household becoming disabled are associated

Multiple spells increase likelihood (have to get out to get back in)

Page 14: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Competing Risks Framework (compared to not exiting)

SA prior to entering poverty less likely to exit to 1.1*LICO

Full year employment and having a high school diploma (compared to < HS) are associated with moving out of poverty to income that is between 1.1 and 2*LICO.

Higher levels of education, employment and age are positively associated with exiting to >2*LICO

being an immigrant, unattached, on social assistance, or having young and more children are negatively associated with leaving poverty to>2*LICO

Page 15: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Table 5 Mean Spell Duration pre and post Intro of NCB

Spells starting before 1998

Spells Starting in or after 1998a

All Females 1.992(1.254)

1.7803(1.036)

Lone Parents 2.200(1.272)

1.730(1.006)

Couples with Children 1.862(1.170)

1.699(0.995)

Other Family with Children 1.964(1.333)

1.981(1.019)

Unattached 2.226(1.345)

1.976(1.078)

Other Family - no Children 2.130(1.352)

1.794(1.085)

Page 16: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Possible Policy Conclusions

Our data seem to indicate that a not so small portion of women who enter poverty are ‘trapped’ there.

increasing education and employment opportunities for the poor.

temporary or longer-term guaranteed living income for those with disabilities, larger families and long-term social assistance recipients who are not able to find employment or women with multiple spells

Page 17: LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Possible Policy Conclusions

the competing risks framework demonstrates that exiting poverty is not the same experience for all women.

Studies examining poverty and poverty duration should differentiate between those who exit to near the poverty line or to far above the poverty line – clearly, these are very different experiences for women and their families and are strong indicators as to whether or not a women (and her family) will return to poverty.